Proceedings of the 2015 Chinese Intelligent Automation Conference Intelligent Information Processing / [electronic resource] :
edited by Zhidong Deng, Hongbo Li.
- XI, 594 p. 281 illus. online resource.
- Lecture Notes in Electrical Engineering, 336 1876-1100 ; .
- Lecture Notes in Electrical Engineering, 336 .
Robust Covariance Intersection Fusion Steady-state Kalman Filter with Uncertain Parameters -- An Improved GAFSA Based on Chaos Search and Modified Simplex Method -- Tea Leaves Classification Based on Texture Analysis -- An underwater image classification algorithm based on PCA and D-S evidence theory.
Proceedings of the 2015 Chinese Intelligent Automation Conference presents selected research papers from the CIAC'15, held in Fuzhou, China. The topics include adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, reconfigurable control, etc. Engineers and researchers from academia, industry and the government can gain valuable insights into interdisciplinary solutions in the field of intelligent automation.
9783662464694
10.1007/978-3-662-46469-4 doi
Engineering.
Computational intelligence.
Control engineering.
Robotics.
Automation.
Engineering.
Robotics and Automation.
Computational Intelligence.
Control.
TJ210.2-211.495 T59.5
629.892
Robust Covariance Intersection Fusion Steady-state Kalman Filter with Uncertain Parameters -- An Improved GAFSA Based on Chaos Search and Modified Simplex Method -- Tea Leaves Classification Based on Texture Analysis -- An underwater image classification algorithm based on PCA and D-S evidence theory.
Proceedings of the 2015 Chinese Intelligent Automation Conference presents selected research papers from the CIAC'15, held in Fuzhou, China. The topics include adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, reconfigurable control, etc. Engineers and researchers from academia, industry and the government can gain valuable insights into interdisciplinary solutions in the field of intelligent automation.
9783662464694
10.1007/978-3-662-46469-4 doi
Engineering.
Computational intelligence.
Control engineering.
Robotics.
Automation.
Engineering.
Robotics and Automation.
Computational Intelligence.
Control.
TJ210.2-211.495 T59.5
629.892